From the webpage:
Since most interactions only involve a single dimension, and then only small adjustments are made to the filter values, incremental filtering and reducing is significantly faster than starting from scratch. Crossfilter uses sorted indexes (and a few bit-twiddling hacks) to make this possible, dramatically increasing the performance of live histograms and top-K lists. For more details on how Crossfilter works, see the API reference.
See the webpage for an impressive demonstration with a 5.3 MB dataset.
Is there a trend towards “big data” manipulation on clusters and “less big data” in browsers?
Will be interesting to see how the benchmarks for “big” and “less big” move over time.
I first saw this in Nat Torkington’s Four Short links: 4 March 2013.